Summary
Pierrick Rugery is a data scientist and machine learning engineer with nine years of experience building production ML systems and research projects across finance, enterprise, and academic labs. He has led platform and product initiatives at Pernod Ricard—shaping an ML ecosystem, mentoring teams, and shipping an AI-driven sales optimization product scaled across 21 states—and contributed advanced NLP and anomaly-detection systems at Société Générale that cut false positives by 65%. Now a Research Assistant at NYU CILVR/GRAIL, he bridges cutting-edge computer vision research with pragmatic engineering. Comfortable across the ML lifecycle, his background spans deep learning research, MLOps, Spark/AWS pipelines, and CI/CD for model deployment. Colleagues rely on him for turning research ideas into measurable business impact and for making complex ML accessible to non-technical stakeholders.
9 years of coding experience
7 years of employment as a software developer
Preparatory Class : High Intensity Preparation for national entrance exam Mathematics Physics Mechanics, Preparatory Class : High Intensity Preparation for national entrance exam Mathematics Physics Mechanics at Gustave Eiffel
Master of Engineering - MEng Intelligence artificielle, Master of Engineering - MEng Intelligence artificielle at Institut Polytechnique de Paris
English, Chinese, French